Key result
EEG dynamic time warping distinguishes Vascular Dementia from SCI, MCI, and AD via distinct connectivity.
Why the study?
Distinguishing neurodegenerative diseases in an effective and efficient way is an increasingly important challenge.
Does Dynamic Time Warping (DTW) with EEG distinguish Vascular Dementia from other cognitive disorders?
Observational
Does Dynamic Time Warping (DTW) with EEG distinguish Vascular Dementia from other cognitive disorders?
Dynamic Time Warping of EEG signals may serve as a functional connectivity biomarker to distinguish Vascular Dementia from Alzheimer's Disease and other cognitive impairments.
Distinguishing neurodegenerative diseases in an effective and efficient way is an increasingly important challenge. This study investigates the use of Dynamic Time Warping (DTW) as a functional connectivity (FC) measure, to distinguish patients with Subjective Cognitive Impairments (SCI), Mild Cognitive Impairments (MCI), Alzheimer’s Disease (AD) and Vascular Dementia (VaD) with EEG. The FC analysis is performed per cortical region, defining three topological ranges: short-, mid- and long-ranges. We analyze the FC at different threshold values, corresponding to the percentage of the highest values to be kept. The study highlights different FC topologies in the four conditions. Results show that DTW allows a significant distinction of VaD from SCI, MCI and AD, particularly for the short-range FC. Also, SCI, AD and VaD are significantly distinct when considering the mid-range FC for high threshold values. MCI patients show an intermediate behaviour between SCI and AD groups. Interestingly, the study also reveals that VaD group exhibits the lowest short-range connectivity and the highest long-range connectivity.
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Bedoin et al. (2024) conducted an observational in Cognitive Disorders (SCI, MCI, AD, VaD). Dynamic Time Warping (DTW) of EEG functional connectivity vs. Comparison among SCI, MCI, AD, and VaD groups was evaluated on Distinction of neurodegenerative diseases based on functional connectivity topologies. Dynamic Time Warping of EEG functional connectivity significantly distinguished Vascular Dementia from SCI, MCI, and AD, with VaD showing the lowest short-range and highest long-range connectivity.
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